National Panel Survey 2012-2013, Wave 3
Tanzania, 2012 - 2013
Get Microdata
Reference ID
TZA_2012_NPS-R3_v01_M
Producer(s)
National Bureau of Statistics
Collection(s)
Metadata
Created on
Apr 28, 2015
Last modified
Jan 30, 2020
Page views
430325
Downloads
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- Data files
- AG_NETWORK
- AG_SEC_01
- AG_SEC_2A
- AG_SEC_2B
- AG_SEC_3A
- AG_SEC_3B
- AG_SEC_4A
- AG_SEC_4B
- AG_SEC_5A
- AG_SEC_5B
- AG_SEC_6A
- AG_SEC_6B
- AG_SEC_7A
- AG_SEC_7B
- AG_SEC_08
- AG_SEC_9A
- AG_SEC_9B
- AG_SEC_9C
- AG_SEC_10
- AG_SEC_11
- AG_SEC_12A
- AG_SEC_12B
- AG_SEC_A
- COM_SEC_A1A2
- COM_SEC_CB
- COM_SEC_CC
- COM_SEC_CD
- COM_SEC_CE
- COM_SEC_CF
- COM_SEC_CF_ID
- COM_SEC_CG
- ConsumptionNPS3
- FILTERS
- HH_SEC_A
- HH_SEC_B
- HH_SEC_C
- HH_SEC_D
- HH_SEC_E
- HH_SEC_F
- HH_SEC_G
- HH_SEC_H
- HH_SEC_I
- HH_SEC_J1
- HH_SEC_J2
- HH_SEC_J3
- HH_SEC_J4
- HH_SEC_K
- HH_SEC_L
- HH_SEC_M
- HH_SEC_N
- HH_SEC_O1
- HH_SEC_O2
- HH_SEC_P
- HH_SEC_Q1
- HH_SEC_Q2
- HH_SEC_R
- HH_SEC_S
- HH_SEC_U2
- HH_SEC_V
- LF_NETWORK
- LF_SEC_01
- LF_SEC_02
- LF_SEC_03
- LF_SEC_04
- LF_SEC_05
- LF_SEC_06
- LF_SEC_07
- LF_SEC_08
- LF_SEC_09
- LF_SEC_10
- LF_SEC_11A
- LF_SEC_11B
- LF_SEC_12
- LF_SEC_13A
- LF_SEC_13B
- LF_SEC_A
- HouseholdGeovars_Y3
- NPSY3.PANEL.KEY
- PlotGeovars_Y3
- Y3_weights
CROP NAME (zaoname)
Data file: AG_SEC_5A
Overview
Valid:
6154
Invalid:
0
Type:
Discrete
Start:
14
End:
29
Width:
16
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ALIZETI | 196 |
3.2%
|
|
| BAMIA | 15 |
0.2%
|
|
| BILINGANYA | 5 |
0.1%
|
|
| BIRINGANI | 1 |
0%
|
|
| BOGA | 18 |
0.3%
|
|
| CHAINESE | 1 |
0%
|
|
| CHAINIZI | 2 |
0%
|
|
| CHOROKO | 81 |
1.3%
|
|
| DENGU | 24 |
0.4%
|
|
| FIGIRI | 1 |
0%
|
|
| FIWI | 16 |
0.3%
|
|
| HOHO | 2 |
0%
|
|
| KABECHI | 1 |
0%
|
|
| KABICHI | 6 |
0.1%
|
|
| KAHAWA | 1 |
0%
|
|
| KARANGA | 431 |
7%
|
|
| KAROTI | 3 |
0%
|
|
| KITUNGUU MAJI | 1 |
0%
|
|
| KUNDE | 223 |
3.6%
|
|
| MABILINGANYA | 2 |
0%
|
|
| MABOGA | 32 |
0.5%
|
|
| MAGIMBI | 104 |
1.7%
|
|
| MAHARAGE | 671 |
10.9%
|
|
| MAHINDI | 2036 |
33.1%
|
|
| MAHUNDI | 1 |
0%
|
|
| MAJANI YA KUNDE | 1 |
0%
|
|
| MAJANI YA MABOGA | 4 |
0.1%
|
|
| MANJANO | 1 |
0%
|
|
| MATANGO | 4 |
0.1%
|
|
| MATEMBELE | 12 |
0.2%
|
|
| MATIKITI | 3 |
0%
|
|
| MATIKITI MAJI | 2 |
0%
|
|
| MBAAZI | 215 |
3.5%
|
|
| MCHICHA | 20 |
0.3%
|
|
| MHINDI | 1 |
0%
|
|
| MIHANDA | 2 |
0%
|
|
| MIHOGO | 16 |
0.3%
|
|
| MKUNDE | 1 |
0%
|
|
| MNAVU | 2 |
0%
|
|
| MPUNGA | 677 |
11%
|
|
| MTAMA | 281 |
4.6%
|
|
| MUHINDI | 1 |
0%
|
|
| MUHOGO | 16 |
0.3%
|
|
| MWANI | 7 |
0.1%
|
|
| NDIZI | 1 |
0%
|
|
| NGANO | 20 |
0.3%
|
|
| NGOGWE | 2 |
0%
|
|
| NGWARA | 4 |
0.1%
|
|
| NJEGERE | 6 |
0.1%
|
|
| NJUGU | 5 |
0.1%
|
|
| NJUGU MAWE | 48 |
0.8%
|
|
| NJUGU YA MAWE | 1 |
0%
|
|
| NJUGUMAWE | 8 |
0.1%
|
|
| NJUU MAWE | 1 |
0%
|
|
| NYANYA | 39 |
0.6%
|
|
| NYANYA CHUNGU | 1 |
0%
|
|
| NYANYA MSHUMAA | 1 |
0%
|
|
| NYANYACHUNGU | 2 |
0%
|
|
| NYUMBANI | 1 |
0%
|
|
| PAMBA | 150 |
2.4%
|
|
| PARETO | 13 |
0.2%
|
|
| PILIPILI | 2 |
0%
|
|
| SKUMA | 1 |
0%
|
|
| SOYA | 10 |
0.2%
|
|
| SPINACH | 3 |
0%
|
|
| SPINACHI | 4 |
0.1%
|
|
| SUKUMA | 1 |
0%
|
|
| SUKUMA WIKI | 2 |
0%
|
|
| SUKUMAWIKI | 1 |
0%
|
|
| TANGO | 4 |
0.1%
|
|
| TIKITI | 3 |
0%
|
|
| TUMBAKU | 61 |
1%
|
|
| TUNGULE | 4 |
0.1%
|
|
| UFUTA | 108 |
1.8%
|
|
| ULEZI | 26 |
0.4%
|
|
| UNGA WA MAHINDI | 1 |
0%
|
|
| UPUPU | 1 |
0%
|
|
| UWELE | 63 |
1%
|
|
| VIAZI | 22 |
0.4%
|
|
| VIAZI MVIRINGO | 40 |
0.6%
|
|
| VIAZI ULAYA | 1 |
0%
|
|
| VIAZI VIKUU | 24 |
0.4%
|
|
| VIAZI VITAM | 1 |
0%
|
|
| VIAZI VITAMU | 311 |
5.1%
|
|
| VITUNGUU | 7 |
0.1%
|
|
| VITUNGUU MAJI | 9 |
0.1%
|
|
| VITUNGUU SAUMU | 1 |
0%
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.